Table 5. Classification accuracy obtained using selected handcrafted (LBP + HOG + GLCM) and radiomic feature combinations.

Metrics	LDA	kNN	GNB	SVM	AdaBoost	RF	Ensemble	XGBoost	NN
Accuracy	0.814	0.836	0.775	0.793	0.782	0.864	0.857	0.855	0.882
Precision	0.835	0.866	0.821	0.819	0.829	0.893	0.891	0.879	0.893
Recall	0.814	0.836	0.775	0.793	0.782	0.864	0.857	0.865	0.882
F1 Score	0.816	0.815	0.777	0.779	0.768	0.855	0.890	0.854	0.888